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Items: 1 to 20 of 98

1.

Risk-sensitive reinforcement learning.

Shen Y, Tobia MJ, Sommer T, Obermayer K.

Neural Comput. 2014 Jul;26(7):1298-328. doi: 10.1162/NECO_a_00600. Epub 2014 Apr 7.

PMID:
24708369
2.

Signals in human striatum are appropriate for policy update rather than value prediction.

Li J, Daw ND.

J Neurosci. 2011 Apr 6;31(14):5504-11. doi: 10.1523/JNEUROSCI.6316-10.2011.

3.

Neural correlates of forward planning in a spatial decision task in humans.

Simon DA, Daw ND.

J Neurosci. 2011 Apr 6;31(14):5526-39. doi: 10.1523/JNEUROSCI.4647-10.2011.

4.
5.

Neural correlates of reinforcement learning and social preferences in competitive bidding.

van den Bos W, Talwar A, McClure SM.

J Neurosci. 2013 Jan 30;33(5):2137-46. doi: 10.1523/JNEUROSCI.3095-12.2013.

6.

Behavioral and neural predictors of upcoming decisions.

Cohen MX, Ranganath C.

Cogn Affect Behav Neurosci. 2005 Jun;5(2):117-26.

PMID:
16180619
7.

An "as soon as possible" effect in human intertemporal decision making: behavioral evidence and neural mechanisms.

Kable JW, Glimcher PW.

J Neurophysiol. 2010 May;103(5):2513-31. doi: 10.1152/jn.00177.2009. Epub 2010 Feb 24.

8.

Policy adjustment in a dynamic economic game.

Li J, McClure SM, King-Casas B, Montague PR.

PLoS One. 2006 Dec 20;1:e103.

9.

[Mathematical models of decision making and learning].

Ito M, Doya K.

Brain Nerve. 2008 Jul;60(7):791-8. Review. Japanese.

PMID:
18646619
10.

Decision theory, reinforcement learning, and the brain.

Dayan P, Daw ND.

Cogn Affect Behav Neurosci. 2008 Dec;8(4):429-53. doi: 10.3758/CABN.8.4.429. Review.

PMID:
19033240
11.

Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics.

Tanaka SC, Samejima K, Okada G, Ueda K, Okamoto Y, Yamawaki S, Doya K.

Neural Netw. 2006 Oct;19(8):1233-41. Epub 2006 Sep 18.

PMID:
16979871
12.

Human reinforcement learning subdivides structured action spaces by learning effector-specific values.

Gershman SJ, Pesaran B, Daw ND.

J Neurosci. 2009 Oct 28;29(43):13524-31. doi: 10.1523/JNEUROSCI.2469-09.2009.

13.

Neural response to reward anticipation under risk is nonlinear in probabilities.

Hsu M, Krajbich I, Zhao C, Camerer CF.

J Neurosci. 2009 Feb 18;29(7):2231-7. doi: 10.1523/JNEUROSCI.5296-08.2009.

14.

Deciding when to decide: time-variant sequential sampling models explain the emergence of value-based decisions in the human brain.

Gluth S, Rieskamp J, Büchel C.

J Neurosci. 2012 Aug 1;32(31):10686-98. doi: 10.1523/JNEUROSCI.0727-12.2012.

15.
16.

Model-based reinforcement learning under concurrent schedules of reinforcement in rodents.

Huh N, Jo S, Kim H, Sul JH, Jung MW.

Learn Mem. 2009 Apr 29;16(5):315-23. doi: 10.1101/lm.1295509. Print 2009 May.

17.

Effects of emotional preferences on value-based decision-making are mediated by mentalizing and not reward networks.

Evans S, Fleming SM, Dolan RJ, Averbeck BB.

J Cogn Neurosci. 2011 Sep;23(9):2197-210. doi: 10.1162/jocn.2010.21584. Epub 2010 Oct 14.

18.

Neural substrates of reward magnitude, probability, and risk during a wheel of fortune decision-making task.

Smith BW, Mitchell DG, Hardin MG, Jazbec S, Fridberg D, Blair RJ, Ernst M.

Neuroimage. 2009 Jan 15;44(2):600-9. doi: 10.1016/j.neuroimage.2008.08.016. Epub 2008 Aug 27.

19.

The neural correlates of subjective value during intertemporal choice.

Kable JW, Glimcher PW.

Nat Neurosci. 2007 Dec;10(12):1625-33. Epub 2007 Nov 4.

20.

A neural correlate of reward-based behavioral learning in caudate nucleus: a functional magnetic resonance imaging study of a stochastic decision task.

Haruno M, Kuroda T, Doya K, Toyama K, Kimura M, Samejima K, Imamizu H, Kawato M.

J Neurosci. 2004 Feb 18;24(7):1660-5.

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